Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maria Violeta GUIMAN"'
Autor:
Mariana Domnica Stanciu, Mihaela Coșniță, Ghiorghe Vasile Gliga, Lidia Gurau, Maria Cristina Timar, Maria Violeta Guiman, Silviu Marian Năstac, Ioan Călin Roșca, Voichita Bucur, Florin Dinulică
Publikováno v:
Advanced Materials Interfaces, Vol 11, Iss 10, Pp n/a-n/a (2024)
Abstract The study investigates the effect of the type of varnish and the number of layers on some acoustic properties of the resonance spruce in combination with the changes produced in some physical, morphological, and chemical properties of wood.
Externí odkaz:
https://doaj.org/article/b985db157ce747f3acba31863a4e7c29
Publikováno v:
Pro Ligno, Vol 11, Iss 4, Pp 487-493 (2015)
The paper presents the results of an experimental research performed on a CNC machine tool type ISEL-GFV considering the vibration level developed during the manufacturing of different pieces of particleboard at six processing regimes. There were r
Externí odkaz:
https://doaj.org/article/4569b6f4ff0f42a9949c730ea4a6298c
Autor:
Maria Violeta Guiman, Ioan Călin Roșca
Publikováno v:
Shock and Vibration, Vol 2017 (2017)
An optimization method of the vibrating horns is presented considering the smallest action principle and the attached cutting tool mass. The model is based on Webster’s wave propagation equation and as an objective function the minimization of the
Externí odkaz:
https://doaj.org/article/a656288b86ce4233b0e63d6b3b872af5
Low Velocity Impact Response of Laminate Rectangular Plates Made of Carbon Fiber Reinforced Plastics
Publikováno v:
Procedia Manufacturing. 46:95-102
The paper aims to present an experimental study on low velocity impact behavior of composite materials reinforced with carbon fibers. The objectives of investigations are to assess the main characteristics of impact response such as the energy absorb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a45e96df35224446d1f23f993bb5532
https://doi.org/10.1016/j.promfg.2020.03.015
https://doi.org/10.1016/j.promfg.2020.03.015
Publikováno v:
CONAT 2016 International Congress of Automotive and Transport Engineering ISBN: 9783319454467
Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dd38a7894b2db0ea46be29bd125a392
https://doi.org/10.1007/978-3-319-45447-4_10
https://doi.org/10.1007/978-3-319-45447-4_10
Autor:
Chiru, Anghel, Goia, Ioan, Modrea, Arina, Purcarea, Ramona, Maria Violeta GUIMAN, Burca, Ioan
Publikováno v:
Scopus-Elsevier
Web of Science
Web of Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5e1a723c42ffbebbc64914fd82206b13
http://www.scopus.com/inward/record.url?eid=2-s2.0-84904317446&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84904317446&partnerID=MN8TOARS
Autor:
Rosu, Dorin, Teodorescu-Draghicescu, Horatiu, Vlase, Sorin, Stanciu, Anca, Maria Violeta GUIMAN
Publikováno v:
Scopus-Elsevier
Web of Science
Web of Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::50c536aaa1e16292e972a94667a8fe62
http://www.scopus.com/inward/record.url?eid=2-s2.0-74949114823&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-74949114823&partnerID=MN8TOARS